Results 111 to 120 of about 332,624 (268)

THE GENERALIZED SPACE-TIME ARIMA (GSTARIMA) MODEL FOR PREDICTING NITROGEN MONOXIDE TO MITIGATE EID AL- FITR AIR POLLUTION IN SURABAYA

Barekeng
Air quality is a crucial factor due to its significant impact on environmental sustainability and public health. One of the major pollutants affecting air quality is Nitrogen Monoxide (NO), especially during periods of increased human mobility such as ...
Hani Khaulasari, Dian Candra Rini Novitasari, Maunah Setyawati, Jeneiro Maulana, Shukor Sanim Mohd Fauzi   +4 more
doaj   +1 more source

Gait Analysis of Pak Biawak: A Necrobot Lizard Built using the Skeleton of an Asian Water Monitor (Varanus Salvator)

Advanced Robotics Research, EarlyView.
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds, Donan Satria Yudha, Parvez Alam   +2 more
wiley   +1 more source

Leveraging Artificial Intelligence for Cyanobacterial Bloom Prediction: A Hybrid Deep Learning and Generative Adversarial Network Framework for Accurate Forecasting and Proactive Management

Foundations of Computing and Decision Sciences
This study presents an Artificial Intelligence-based system designed to predict cyanobacterial harmful algal blooms (CyanoHABs). The system utilizes Long Short-Term Memory (LSTM) networks to predict the timing of bloom occurrences and One-Dimensional ...
Dendani Nadjette, Saoudi Amel, Amara Nour Djihane, Azizi Nabiha, Dugdale Julie, Hadiby Rayenne   +5 more
doaj   +1 more source

Electric Energy Measurement System For Energy Management Household With Convolutional Neural Network Method

Emitor: Jurnal Teknik Elektro
- Short Term Load Forecasting (STLF) is becoming very important as the use of distributed energy sources, renewable energy, and demand side management increases. Electrical energy is one of the most widely used energy, especially in households.
devan Rozali, Rachma Prilian Eviningsih, Novie Ayub Windarko   +2 more
doaj   +1 more source

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

Techno‐Economic Analysis of Polylactic Acid from Corn Stover: Understanding Uncertainty and Variability via Artificial Intelligence Tools

Advanced Sustainable Systems, EarlyView.
This study analyses the uncertainty and variability existing in the economic performance of polylactic acid (PLA) production, via integrating techno‐economic analysis with process models and Monte Carlo simulation enabled by artificial intelligence. The results show that the minimum selling price varies from $2,107 to $3076/t PLA.
Yinqiao Wang, Jiawei Huang, Chuan Xu, Sipan Liu, Junwei Li, Kai Lan   +5 more
wiley   +1 more source

Deep Learning Approach for Predicting Efficiency in Organic Photovoltaics from 2D Molecular Images of D/A Pairs

Advanced Theory and Simulations, EarlyView.
This study highlights the potential of deep learning, particularly Convolutional Neural Networks (CNNs), for predicting the photovoltaic performance of organic solar cells. By leveraging 2D images representing donor/acceptor molecular pairs, the model accurately estimates key performance indicators proving that this image‐based approach offers a fast ...
Khoukha Khoussa, Patrick Lévêque, Larbi Boubchir   +2 more
wiley   +1 more source

Data‐Driven Printability Modeling of Hydrogels for Precise Direct Ink Writing Based on Rheological Properties

Advanced Science, EarlyView.
A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong, Jiho Choi, Han Bi Park, Ji Woo Lee, Seo Yeon Bae, Byoung Soo Kim, ChangKyu Yoon, Jun Dong Park   +7 more
wiley   +1 more source

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

Advanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li   +27 more
wiley   +1 more source

Generalized Mechanism Model for Ecosystem Hysteresis

Advanced Science, EarlyView.
A simplified model examines ecosystem transitions into alternative states after disturbances by leveraging positive and negative feedbacks. It identifies critical tipping points and quantifies hysteresis. Tests conducted on lakes, grasslands, and pitcher‐plant leaves align closely with empirical data and enable the prediction of recovery trajectories ...
Yanbin Hao, Xin Wang, Jie Liu, Mingzi Wu, Jianqing Du, Kai Xue, Xiaoning Song, Xiaoyong Cui, Tong Zhao, Yanfen Wang   +9 more
wiley   +1 more source